title: Diagnostic value of electrocardiographic variables to predict the presence of ventricular late potentials.
abstract: To test the hypothesis that the presence of ventricular late potentials in the highly amplified, averaged and filtered surface electrocardiogram (ECG) can be predicted from the conventional surface ECG, 211 patients with and without previously documented sustained ventricular tachycardia outside the acute phase of myocardial infarction were studied. The presence of left ventricular akinesia or aneurysm was significantly correlated with the ECG score (based on Q wave duration, R wave duration and amplitude ratio). The mean ECG score in patients without ventricular tachycardia was 3.4 +/- 3.5 points compared with 5.5 +/- 3.9 points (p less than 0.001) in patients with ventricular tachycardia. The presence of late potentials was positively correlated with the ECG score in the whole cohort of patients. This was also the case in the subgroup of patients without a history of sustained ventricular tachycardia. In contrast, in patients with ventricular tachycardia, the presence of late potentials was independent of their ECG score. Using linear discriminant function analyses to predict the presence of late potentials, a history of ventricular tachycardia alone and the ECG score alone had a high predictive power (high standardized coefficients). If combinations of variables were analyzed including estimates of left ventricular function (presence of aneurysm or akinesia; ejection fraction), the ECG score and a history of ventricular tachycardia still ranked highest. The influence of ejection fraction if used in combination with other variables for the prediction of late potentials was relatively small (standardized coefficient of 0.4). In conclusion, the surface ECG can be used in patients previously free of sustained ventricular tachycardia to predict the presence of ventricular late potentials.(ABSTRACT TRUNCATED AT 250 WORDS)
authors.affiliation: Department of Cardiology and Angiology, Westfälische Wilhelms-University of Münster, West Germany.
authors.forename: G
authors.initials: G
authors.lastname: Breithardt
authors.forename: N
authors.initials: N
authors.lastname: Hackstein
authors.forename: M
authors.initials: M
authors.lastname: Borggrefe
authors.forename: A
authors.initials: A
authors.lastname: Podczeck
authors.forename: A
authors.initials: A
authors.lastname: Martinez-Rubio
authors.forename: H J
authors.initials: HJ
authors.lastname: Trampisch
mesh_terms: D004562:Electrocardiography / Q000379:methods*; D005260:Female; D006329:Heart Conduction System / Q000503:physiopathology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000503:physiopathology; D012815:Signal Processing, Computer-Assisted; D013610:Tachycardia / Q000175:diagnosis* / Q000503:physiopathology